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goodnessibeh
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skill-creator

Draft, test, and iteratively improve AI skills with structured feedback.

1|3|Updated Apr 9, 2026
Search Tags:#skill development#benchmarking#ai skill#performance evaluation#description optimization
One-click install
npx skills add https://github.com/goodnessibeh/ai-dev-boilerplate --skill skill-creator-goodnessibeh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/goodnessibeh/ai-dev-boilerplate/tree/main/.claude/plugins/marketplaces/claude-plugins-official/plugins/skill-creator/skills/skill-creator
Command: npx skills add https://github.com/goodnessibeh/ai-dev-boilerplate --skill skill-creator-goodnessibeh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires eval-viewer, generate_review.py, aggregate_benchmark.py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Skill Creator addresses the challenge of creating, refining, and benchmarking AI skills for a wide range of use cases, simplifying the development process for AI tools.

Core Features & Use Cases

  • Skill Creation: Design and initialize new AI skills from scratch.
  • Skill Optimization: Improve existing skills based on feedback and benchmarking.
  • Performance Evaluation: Run tests and measure skill performance with variance analysis.
  • Description Optimization: Optimize skill descriptions for better triggering accuracy.
  • Use Case: Suppose you have a skill that generates code snippets. Use this Skill to create test cases, gather feedback, and optimize the skill's description for more accurate triggering.

Quick Start

Use the skill-creator skill to help me draft a new skill for generating SQL queries based on user input.

Frequently Asked Questions about skill-creator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I benchmark AI skills and evaluate their performance variance?▼

AI skill development involves drafting, testing, and iterative improvement to create high-quality tools. This skill supports the full lifecycle by integrating multiple testing frameworks, generating test cases, and providing structured feedback for refinement.

What is the best way to optimize AI skill descriptions for better triggering accuracy?▼

Optimizing AI skill descriptions involves refining the text based on benchmarking feedback to improve triggering accuracy. The skill-creator skill analyzes performance evaluation data to iteratively adjust descriptions, ensuring the AI skill activates correctly for its intended use cases.

How do I create test cases for AI skills that generate code snippets?▼

Creating test cases for code snippet skills requires structured feedback and benchmarking frameworks. You can use the skill-creator skill to initialize tests, measure performance variance, and gather the data needed to iteratively improve the skill's output quality.

Do I need testing frameworks to evaluate AI skill performance?▼

AI skill development involves drafting, testing, and iterative improvement to create high-quality tools. This skill supports the full lifecycle by integrating multiple testing frameworks, generating test cases, and providing structured feedback for refinement.

Can I use benchmarking for iterative improvement of existing AI skills?▼

Benchmarking supports iterative improvement of existing AI skills by measuring performance and generating structured feedback. The skill-creator skill uses variance analysis and performance evaluation data to guide the optimization process for skills across various use cases.

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